Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

IPUMS

Browse dataset profiles

data category: US household and labour surveys · 1 paper in the last 7 days

← Most-used data · All US household and labour surveys datasets

US panel and cross-section surveys of households and workers: income, wealth, spending, health and work.

Share: X LinkedIn Bluesky Threads Facebook Reddit Hacker News Hatena LINE Email
Copy:

Names searched for: IPUMS

Key findings#

  • From Nov 2023 to Oct 2026, 145 archived papers mentioned IPUMS in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jul 2026 (10).
  • IPUMS was mentioned in 4 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #84 of the 255 datasets mentioned.
  • By journal category: Economics (4).
  • Most of them appeared in Journal of Economics Race and Policy (1), Review of Economics of the Household (1) and World Development (1).
  • From 2017 to 2026 (so far), IPUMS was mentioned in 150 papers in the tracked journals, most of them in economics (121), health economics and policy (10) and AI (4).
  • 47 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were IZA - Institute of Labor Economics (9), Austin Peay State University (6) and University of Wisconsin–Madison (6).
  • The journals publishing most of them were Journal of Population Economics (18), Journal of Development Economics (11) and Review of Economics of the Household (10).
  • The most-cited of them is “Robots, tasks, and trade” (Journal of International Economics, 2023), with 73 citations.
  • Papers use IPUMS most often with American Community Survey (49), Current Population Survey (42) and Bureau of Labor Statistics (26); it has 28 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
415450145

Papers per year#

2017: 0 papers2018: 0 papers2019: 0 papers2020: 0 papers2021: 1 paper2022: 1 paper2023: 8 papers2024: 47 papers2025: 47 papers2026 (so far): 46 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Economics0000007413835
Health Economics and Policy0000111214
AI0000000112
Operations Research0000000121
Higher Education and Research0000000120
Management0000000102
Finance0000000021
Statistics0000000011
All categories0000118474746

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1IZA - Institute of Labor Economics9
2Austin Peay State University6
3University of Wisconsin–Madison6
4Arizona State University4
5Centre National de la Recherche Scientifique4
6Centre for Economic Policy Research4
7Universidad de Zaragoza4
8University of Notre Dame4
9University of Southern Denmark4
10Virginia Tech4
Countries with the most papers, since 2023
#CountryPapers
1United States92
2United Kingdom25
3Germany24
4Spain13
5Canada8
6France8
7Italy8
8Australia7
9China5
10South Korea5
Keywords with the most papers, since 2023
#KeywordPapers
1educational attainment12
2women's employment6
3COVID-19 pandemic5
4fertility5
5gender pay gap5
6internal migration5
7labor market outcomes5
8longevity5
9self-employment5
10time use5

Most-cited papers#

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use IPUMS most often with American Community Survey (49), Current Population Survey (42) and Bureau of Labor Statistics (26); it has 28 partners in the code and data network, in the group around World Development…, Eurostat, International Energy…. The whole network →

What papers use IPUMS together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
American Community SurveyDataset4952.8
Current Population SurveyDataset4269.0
Bureau of Labor StatisticsDataset2622.7
Bureau of Economic AnalysisDataset1422.1
Demographic and Health Surveys (DHS)Dataset129.8
American Time Use SurveyDataset1134.4
NOAADataset811.1
US Census business data (LBD, CBP, QCEW)Dataset825.8
University of Michigan Surveys of ConsumersDataset711.5
US health surveys (NHANES, BRFSS, MEPS)Dataset77.9
World Development Indicators (World Bank)Dataset72.4
EurostatDataset61.3
Papers mentioning IPUMS in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-31What Do First Names Signal? Evidence on Race, Class, and Unobserved Characteristics from a New DatasetJournal of Economics Race and PolicyDeborah M. Weiss, Matthew L. Spitzer, Ethan NourbashNorthwestern University
2026-10-26Robots and wage inequality: evidence from individuals in ChinaReview of Economics of the HouseholdRentao Rao, Yixiao ZhouAustralian National University
2026-10-21The impact of regional growth on internal migration: a district-level analysis for MalawiWorld DevelopmentMauro Lanati, Rainer ThieleUniversity of Florence; Kiel Institute for the World Economy; Christian-Albrechts-Universität zu Kiel
2026-10-15Economic uncertainty and fertility cycles: baby boom and busts in twentieth century USAJournal of Economic GrowthBastien Chabé-Ferret, Paula E. GobbiLuxembourg Institute of Socio-Economic Research; Middlesex University London; Université Libre de Bruxelles
Cite this page

Scholar4AI. (2026). IPUMS. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/ipums

@misc{scholar4ai-datasets-ipums,
  author = {{Scholar4AI}},
  title = {IPUMS},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/ipums}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).